Georgia Stanway
@FCBfrauen | @lionesses | @Nike | @mattpjohnson2 | @caabase |
98,714
Followers
482
Following
2,173
Tweets
600.4
Avg Engagement
202
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StanwayGeorgia's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2015-05-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,026
- Avg Likes per Tweet:208.0
- Avg Retweets per Tweet:392.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,026 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The engagement rate is significantly above average for most accounts.
208.0
Avg Likes/Tweet
392.4
Avg Retweets/Tweet
421,454
Total Likes
794,976
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
9
Median Retweets
137
75th Percentile
297,355
Top Tweet
6.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
24.1%
Original
20.4%
Replies
42.8%
Retweets
12.7%
Quotes
0.0%
Threads
0.4%
With Media
66.3%
With Links
30.5%
With #Tags
77.9%
With @Mentions
66.1%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,026 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 868 retweets (43% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 2,026 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe audience likely includes football fans, brand enthusiasts, and followers of lifestyle content. The account's association with multiple brands suggests a broad and diverse audience.
Average
Audience Quality
30.9%
Suspicion Index
42.1%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.2%
Empty Bio
40.6%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
61.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
30.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
3,539,742
Total Potential Reach
17
Median Follower Reach
96
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.1%
Creators
3,809 accounts
21.3%
Consumers
2,126 accounts
40.6%
Dormant
4,065 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
26
Verified Followers
0.26% of total
1,234
Protected Accounts
12.34% of total
4 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @mrdanwalker | 802,881 | Journalist | Dad, husband, BBC. |
| @fratusll | 173,742 | - | - |
| @SofascoreINT | 157,629 | - | - |
| @UEFAcom_de | 138,483 | Sports Media | Football, Champions League, Europa League |
| @Depheruk | 120,235 | - | - |
| @GBEnglandGB | 115,695 | - | - |
| @jodiejporteous | 113,353 | Influencer | Change, World, Butterfly |
| @jochweahhh | 48,465 | Influencer | Music, Travel, Food |
| @jonoread | 48,319 | Social Media Manager | Politics, Media, Radio |
| @PowerOfWomenNFT | 45,297 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,578
Followers With Bio
5,422
Followers Without Bio
45.78%
% With Bio
54.22%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,026 analyzed701,823
Combined Engagement
37,205
Total Likes
664,618
Total Retweets
140,365
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @TurnUpGvngstar: Never let them know your next move Watch until the end 😭😭😩🙆🐐 https://t.co/46VcQrt2LL
RT @Stranger_Things: From Russia with love… https://t.co/ZWEMgy63Et
Who can’t love footy
RT @NHSuk: That was emotional 💙
RT @NiallGray: Why was every school disco DJ like this https://t.co/T8XIus5Czs
Key Insights & Takeaways
The account frequently shares content related to football and lifestyle brands, which likely drives engagement. The use of emojis and direct mentions of teams like Manchester City suggests a focus on emotional and interactive content. The account's association with multiple brands indicates a potential marketing or promotional strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 98,714
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @StanwayGeorgia reveals an well-established Twitter presence with 98,714 followers. The account demonstrates a content-creator strategy, averaging 600.4 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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